Epic Goal

• Reduce excessive logging in OpenShift Pipelines Operator to improve performance, decrease storage costs, and enhance log readability while maintaining necessary debugging information.

Why is this important?

• Performance & Resource Optimization

• • Reduce CPU/Memory overhead from excessive log processing and storage

• • Decrease storage costs - logs consume significant persistent storage in large clusters

• • Improve operator performance - less time spent on log I/O operations

• • Better resource utilization - free up resources for actual operator functions

    2. Operational Efficiency

• • Faster troubleshooting - meaningful logs are easier to parse than verbose noise

• • Reduced log aggregation costs - lower volume sent to centralized logging systems

• • Improved monitoring - critical events aren't buried in log spam

• • Better alerting - reduced false positives from noisy log patterns

Scenarios

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Acceptance Criteria (Mandatory)

• CI - MUST be running successfully with tests automated
• Release Technical Enablement - Provide necessary release enablement details and documents.
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Dependencies (internal and external)

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Previous Work (Optional):

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Open questions::

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Done Checklist

• Acceptance criteria are met
• Non-functional properties of the Feature have been validated (such as performance, resource, UX, security or privacy aspects)
• User Journey automation is delivered
• Support and SRE teams are provided with enough skills to support the feature in production environment